Jakub Macina

Jakub Macina has 6 papers in our library, in 2022–2025, most of them on Reasoning, Language models & pretraining, Dialogue systems; often with Mrinmaya Sachan, Iryna Gurevych, Manu Kapur.

6 papers in our library · 2022–2025

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Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Of its works in our library, with the number of works on each.

The most cited first (OpenAlex and our library).

MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems (2023 · 131 citations)
Research on automatic dialogue tutors has been limited by a shortage of large, pedagogically sound datasets.
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems (2022 · 70 citations)
The paper investigates whether large language models can automatically produce Socratic-style guidance for math word problems (MWPs).
Opportunities and Challenges in Neural Dialog Tutoring (2023 · 51 citations)
Neural conversational systems built on large language models have advanced quickly, but dialog tutoring has seen little benefit from this progress.
Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors (2024 · 35 citations)
LLM-based math tutors can solve word problems well, but they often fail to notice where a student went wrong.
MathTutorBench: A Benchmark for Measuring Open-ended Pedagogical Capabilities of LLM Tutors (2025 · 33 citations)
Judging how well an LLM teaches , rather than how well it solves problems, has relied on two weak options.
From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning (2025 · 19 citations)
LLMs tuned for answering questions make weak tutors because they tend to reveal solutions instead of guiding learners.

10 co-authors with a page, the most papers together first.

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 216 times (of the 149,439 papers whose bibliographies we read); 38 citing papers with a page here →.

Updated 3 November 2026